Path Estimation from Smartphone Sensors

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F18%3A50014714" target="_blank" >RIV/62690094:18450/18:50014714 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-3-319-76081-0_37" target="_blank" >http://dx.doi.org/10.1007/978-3-319-76081-0_37</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-76081-0_37" target="_blank" >10.1007/978-3-319-76081-0_37</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Path Estimation from Smartphone Sensors

Popis výsledku v původním jazyce

Nowadays the knowledge about position is very important for localization based services. Thanks to knowing the position many services can be provided, such as information about people in our surrounding, firemen can be navigated during movement while rescue action, or just simply tracking position of different things in buildings. Global Navigation Satellite System (GNSS) was commonly used in outdoor environment, but if we are in a building GNSSs are unusable. This is mainly because of multipath propagation which can cause huge localization errors. Therefore, many research teams have started to develop different systems for location estimation in indoor environment. In this work, we proposed position estimation system based on inertial sensors in smartphone with average accuracy below 0.6 m.

Název v anglickém jazyce

Path Estimation from Smartphone Sensors

Popis výsledku anglicky

Nowadays the knowledge about position is very important for localization based services. Thanks to knowing the position many services can be provided, such as information about people in our surrounding, firemen can be navigated during movement while rescue action, or just simply tracking position of different things in buildings. Global Navigation Satellite System (GNSS) was commonly used in outdoor environment, but if we are in a building GNSSs are unusable. This is mainly because of multipath propagation which can cause huge localization errors. Therefore, many research teams have started to develop different systems for location estimation in indoor environment. In this work, we proposed position estimation system based on inertial sensors in smartphone with average accuracy below 0.6 m.

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Studies in computational intelligence

ISBN

978-3-319-76080-3

ISSN

1860-949X

e-ISSN

1860-9503

Počet stran výsledku

9

Strana od-do

435-443

Název nakladatele

Springer

Místo vydání

Cham

Místo konání akce

Dong Hoi

Datum konání akce

19. 3. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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